A Neighbourhood Selection Method For Cellilar Automata Models
Mei, S.S, Billings, S.A. and Guo, L.Z.
(2003)
A Neighbourhood Selection Method For Cellilar Automata Models.
Research Report.
ACSE Report 832
.
Department of Automatic Control and Systems Engineering
Abstract
A new neighbourhood selection method is presented for both deterministic and probabilistic cellular automata models. The detection criteria are built explicitly on the corresponding contribution which is made to the value of each updated cell from each dtected cell in the evolution. Theoretical analysis and numerical simulatons demonstrate the effectiveness of this new method.
Metadata
Item Type:
Monograph
Authors/Creators:
Mei, S.S
Billings, S.A.
Guo, L.Z.
Copyright, Publisher and Additional Information:
The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
Keywords:
Cellular automata, Neighbourhood, Probabilistic cellular automata, System identification
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)